The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Tales from the Dark Side: Privacy Dark Strategies and Privacy Dark Patterns
Open accessAbstract
Privacy strategies and privacy patterns are fundamental concepts of the privacy-by-design engineering approach. While they support a privacy-aware development process for IT systems, the concepts used by malicious, privacy-threatening parties are generally less understood and known. We argue that understanding the “dark side”, namely how personal data is abused, is of equal importance. In this paper, we introduce the concept of privacy dark strategies and privacy dark patterns and present a framework that collects, documents, and analyzes such malicious concepts. In addition, we investigate from a psychological perspective why privacy dark strategies are effective. The resulting framework allows for a better understanding of these dark concepts, fosters awareness, and supports the development of countermeasures. We aim to contribute to an easier detection and successive removal of such approaches from the Internet to the benefit of its users.
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Cited by
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites
Mathur, A., Acar, G., Friedman, M. J., Lucherini, E., Mayer, J., Chetty, M., & Narayanan, A. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359183 · Cited by 816
Gray, C. M., Santos, C. T., Bielova, N., & Mildner, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642436 · Cited by 121
Impact of Voice Fidelity on Decision Making: A Potential Dark Pattern?
Dubiel, M., Sergeeva, A., & Leiva, L. A. (2024) · Proceedings of the 29th International Conference on Intelligent User Interfaces · doi:10.1145/3640543.3645202 · Cited by 16
The Dark Addiction Patterns of Current AI Chatbot Interfaces
Shen, M. K., & Yoon, D. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706599.3720003 · Cited by 8
Trust and Friction: Negotiating How Information Flows through Decentralized Social Media
Hwang, S., Nanayakkara, P., & Shvartzshnaider, Y. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757516 · Cited by 4
Investigating the Impact of Dark Patterns on LLM-Based Web Agents
Ersoy, D., Lee, B., Shreekumar, A., Arunasalam, A., Ibrahim, M., Bianchi, A., & Berkay Celik, Z. (2026) · 2026 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp63933.2026.00042 · Cited by 1
Metadata
- Authors
- Bösch, C., Erb, B., Kargl, F., Kopp, H., & Pfattheicher, S.
- Venue
- Proceedings on Privacy Enhancing Technologies
- Published
- 2016-07-14
- Volume
- 2016
- Issue
- 4
- Pages
- 237-254
- ISSN
- 2299-0984 (ISSN-L)
- OpenAlex
- W2497080131
- Cited by
- 319
- References
- 11
- FWCI
- 21.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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